Stress Detection using Wearable Physiological Sensors and Machine Learning Algorithm
Author:
Affiliation:
1. Karunya Institute of Technology and Sciences,Department of Biomedical Engineering,Coimbatore,India
2. Karunya Institute of Technology and Sciences,Department of Robotics Engineering,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10009019/10009048/10009326.pdf?arnumber=10009326
Reference20 articles.
1. Wearable Physiological Sensors Reflect Mental Stress State in Office-Like Situations
2. Discriminating Stress From Cognitive Load Using a Wearable EDA Device
3. Using the Waseda Bioinstrumentation System WB-1R to analyze Surgeon’s performance during laparoscopy - towards the development of a global performance index -
4. Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine
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1. Physiological Data-Based Stress Detection: From Wrist Sensors to Cloud Computing and User Feedback Integration;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28
2. MindRelax: Smart System for Emotion and Mental Stress Monitoring, Detection and Management;2023 5th International Conference on Advancements in Computing (ICAC);2023-12-07
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